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Principal Applied Scientist, AAIS

Amazon Development Center U.S., Inc.

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Questions you are likely to be asked

  1. Why do you want to join Amazon Development Center U.S., Inc.?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Tell me about a time you disagreed with your manager. What happened?
  4. Where do you want to be in three years?
  5. What is a weakness you are working on, and how?

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AI assistants are getting genuinely good at remembering individuals: your preferences, your projects, the thread you left open last week. But that memory stops at the edge of one person's usage. It doesn't Basic qualifications: - PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field; or a Master's degree with 8+ years of applied science experience - 10+ years of experience building and shipping machine learning or AI systems that reached production users - Deep expertise in large language models and at least two of: information retrieval, knowledge representation and graphs, reinforcement learning, agentic system design, or evaluation methodology for generative systems - Demonstrated experience setting technical and scientific direction for a team of scientists, including mentoring senior scientists - Hands-on proficiency in Python and the ability to prototype independently in a production codebase - Track record of publications, patents, or equivalent evidence of original scientific contribution Preferred: - Experience with agentic and multi-turn systems, including RL-based post-training, environment simulation, or agent harness evaluation - Experience designing evaluation frameworks for open-ended or subjective tasks where ground truth is expensive or unavailable, including synthetic data generation - Experience with memory, personalization, or long-horizon context systems for LLM applications - Experience with temporal knowledge representation, entity resolution, or knowledge graph construction at scale - Experience taking a product from prototype to launch under ambiguity, including making the judgment call on when quality is sufficient to ship - Experience with model distillation or domain-specific tuning to reduce inference cost - Scientific breadth across multiple ML domains, and comfort operating outside your original specialization Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually

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Listed on amazon · posted 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Development Center U.S., Inc., not by us.